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À propos
Apptio is seeking a talented Software Engineer Manager to lead our Compute Platform team, a critical team that powers the data analytics and processing for Apptio's cost management solutions.
The Compute Platform serves as the unified data warehouse layer, processing billions of records daily and supporting multiple product teams.
Our team builds and maintains high-performance, scalable services that integrate with Snowflake, handling massive datasets for enterprise customers.
You'll work on cutting-edge distributed systems, data processing pipelines, and automation frameworks that enable real-time analytics and reporting.
We’re looking for an experienced Are a software manager and engineer with a passion to both lead and contribute to the core components that Apptio’s products are built on-top of. You enjoy observability, automation, reliability, answering questions with data, and delivering scalable solutions for the right problem.
Your role and responsibilities
We’re looking for a software manager with a passion to both lead and contribute to the core components that Apptio’s products are built on-top of. You enjoy observability, automation, reliability, answering questions with data, and delivering scalable solutions for the right problem. You prefer continuous integration, agile, and DevOps model. You want to own the Continuous Integration and Operations of the products you own. You are technical and dabble in the code and spend about half of your time on coaching and supporting teams to deliver on objectives and coordinate with stakeholders across the organization.
Responsibilities
· You will directly manage 5-10 developers and lead them to design and deliver impactful and valuable platform features across our Cloudability product and help operate the Cloudability product suite and help scale our platform to support our growing engineering community and customer base.
· You will partner with product managers, designers, and other engineering leaders to build/refine the product roadmap and establish engineering goals.
· You will collaborate with the leadership team to continuously manage trade-offs between scope, resources and time during the development lifecycle.
· Reduce platform processing costs while improving performance, aligning directly with FinOps principles.
· Drive optimization of massive datasets including AWS, GCP, Azure biling cost and usage data—with attention to input partitioning, join strategies, and memory/shuffle tuning.
Required technical and professional expertise
Experience releasing software in an agile, CI, and DevOps environment.
Experience with large data processing using, Snowflake or WatsonX.data required
Experience in operating a production system at scale, maintaining security compliance, and using telemetry and observability to drive action.
Software development experience in OOP (e.g.: Java), Python, SQL, and AWS.
Experience with Infrastructure as Code (e.g.: Terraform, CloudFormation).
Experience of planning, executing, and delivering projects with multiple engineers in an agile environment.
Solid design and architecture skills. Can participate in code reviews and assess coding skills when hiring engineering talent. Is "in the code" but does not need to personally write production code.
Preferred technical and professional experience
Experience with Agentic AI lead development
Experience with Databricks, Spark
Experience tuning performance and scalability of containerized (e.g.: Docker), cloud-based applications (e.g.: AWS, Azure, Google Cloud Platform).
Familiarity with RESTful systems and their APIs.
Experience contributing to a product user experience both as a leader and as an individual contributor.
Experience and/or passion around solving problems for the business user through productivity applications.
Exceptional verbal and written communication skills.
Bachelor’s degree in Computer Science or a related technical discipline is a plus.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Compétences linguistiques
- English
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